Staff Data Scientist, Data Products

🏢 Syndio · all 5 jobs
📍 United States
💰 USD 180,000 - 205,000 / annual
📅 Posted Sep 18, 2026 · via Himalayas
🏷 Product Analytics, Data Science, Data Products, Analytics Engineering, Business Intelligence, Staff Data Scientist +2 more
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Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees?

Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world’s most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world.

Join us in our mission to help companies make smarter pay decisions they can trust!

About the role

We are looking for a Staff Data Scientist, Data Products to serve as a senior analytical and product partner across Syndio 's product and data-product portfolio. You will own measurement strategies for our product platform, translate usage and business data into product decisions, and help turn those signals — together with pay-equity, policy, job architecture, market, and workforce data — into customer-facing analytical products.

This is a high-autonomy, high-visibility staff role. You will lead ambiguous, cross-functional work from opportunity discovery through methodology, validation, production, and launch; partner with Product, Data Science, Engineering, Privacy, Legal, Sales, and Customer Success; and set standards for analytical rigor, interpretability, data quality, and responsible data use. The role is an individual contributor position with broad influence.

Why this job is exciting

Product Measurement & Decision Support

- Own measurement strategies for Syndi's core user workflows — including offer endorsement, approval, and acceptance — defining events, metrics, and success criteria that guide product decisions.

- Partner with engineering to design and validate event instrumentation for new features, ensuring tracking is accurate, consistent, and privacy-safe from the start.

- Conduct deep-dive analyses into feature adoption, workflow completion, user engagement, customer outcomes, and operational patterns to surface actionable insights.

- Build and maintain production-grade dashboards and self-serve reporting in Mixpanel, BigQuery, and BI tooling that give product teams and senior leaders visibility into product health.

- Translate complex, ambiguous usage data into clear, prioritized recommendations for technical, product, and executive audiences.

Data Product Development

- Define and lead analytical strategies for new compensation and workforce data products that make Syndio more valuable, differentiated, and difficult to replicate.

- Identify high-value opportunities to combine Syndio 's aggregated and anonymized first-party data with compensation market data, job-posting and skills data, and other third-party sources.

- Develop diagnostics that measure compensation governance and execution health, including policy-versus-practice gaps, job-architecture health, governance adoption, strategic alignment, and overpayment risk.

- Lead complex initiatives from early exploration and hypothesis formation through analytical validation, productionization, commercialization, and launch.

- Evaluate whether proposed data products are analytically defensible, interpretable, commercially valuable, privacy-preserving, and responsible to use.

- Contribute to the give-to-get data strategy by identifying which product and customer signals can strengthen Syndio 's broader data assets over time.

Cross-functional Leadership & Standards

- Serve as a senior analytical partner in product discovery, sprint planning, roadmap discussions, business reviews, and product planning cycles.

- Partner with Data Science on experiment design, causal analysis, model evaluation, and measurement of model-assisted workflo

Flights + hotels

This role requires you to be in the United States. If that means relocating or flying in, it is worth checking fares before you commit to a start date.

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